Cooperative bacterial for aging optimization.
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2009)
Discrete Dynamics in Nature and Society
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2009)
Discrete Dynamics in Nature and Society
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Thomas Stützle, Sebastian Linke (2002)
Mathware and Soft Computing
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A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were proposed in the literature. These extensions typically achieve much improved computational results when compared to the original Ant System. However, many design choices of Ant System are left untouched including the fact that solutions are constructed, that real-numbers are used to simulate pheromone trails, and that explicit pheromone evaporation is used. In this article we experimentally...
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan, He, Xiaoxian (2010)
Discrete Dynamics in Nature and Society
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Thibaut Lust, Jacques Teghem (2008)
RAIRO - Operations Research
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We present in this paper a new multiobjective memetic algorithm scheme called MEMOX. In current multiobjective memetic algorithms, the parents used for recombination are randomly selected. We improve this approach by using a dynamic hypergrid which allows to select a parent located in a region of minimal density. The second parent selected is a solution close, in the objective space, to the first parent. A local search is then applied to the offspring. We experiment this scheme with...
Yaoyao He, Jianzhong Zhou, Ning Lu, Hui Qin, Youlin Lu (2010)
Kybernetika
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Differential evolution algorithm combined with chaotic pattern search(DE-CPS) for global optimization is introduced to improve the performance of simple DE algorithm. Pattern search algorithm using chaotic variables instead of random variables is used to accelerate the convergence of solving the objective value. Experiments on 6 benchmark problems, including morbid Rosenbrock function, show that the novel hybrid algorithm is effective for nonlinear optimization problems in high dimensional...
Oscar Cordón, Francisco Herrera, Thomas Stützle (2002)
Mathware and Soft Computing
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Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO algorithms to challenging combinatorial problems. We present some of the algorithms that were developed under this framework, give an overview of current applications, and analyze the relationship...
Enrique Alba, Francisco Luna, Antonio Nebro (2004)
International Journal of Applied Mathematics and Computer Science
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In this paper we address an extension of a very efficient genetic algorithm (GA) known as Hy3, a physical parallelization of the gradual distributed real-coded GA (GD-RCGA). This search model relies on a set of eight subpopulations residing in a cube topology having two faces for promoting exploration and exploitation. The resulting technique has been shown to yield very accurate results in continuous optimization by using crossover operators tuned to explore and exploit the solutions...